期刊
FOOD CONTROL
卷 105, 期 -, 页码 78-85出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodcont.2019.05.025
关键词
FT-IR; Untargeted analysis; Chia oil; Sesame oil; Food adulteration; OC-PLS; SIMCA
资金
- Agencia National de Promotion Cientifica y Tecnologica [PICT 2013-1331]
- Programacion UBACYT [20020130100443BA]
Chia (Salvia hispanica L.) and sesame (Sesamum indicum L.) oils are valorized for their health benefits and both are extensively used as ingredients in different food formulations and/or processes. Their retail prices are higher than those of other edible oils and might promote fraudulent adulterations. Spectroscopic methods associated to untargeted analysis are appropriate and faster than traditional techniques, requiring less time to prepare and run the samples. In the present study Fourier transform infrared spectroscopy was used in combination with one class partial least squares and soft independent modelling by class analogy to detect the presence of four possible adulterants: corn, peanut, soybean and sunflower oils, in four different proportions (pure + adulterant: 90 + 10, 95 + 5, 98 + 2 and 99 + 1, in volume). Untargeted approaches were successful in the detection of adulterated chia and sesame oils with acceptable prediction errors ranging between 1% and 5%.
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